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Dynamic Performance of Non-Minimum-Phase Zeros-Dominated Power-Synchronization Control

IEEE Transactions on Power Systems 2025年第2期40卷 1985-1988页

作者： Jin, Xin Dai, Ningyi State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau 999078 China

In this letter, it is found that non-minimum-phase zeros of power-synchronization control (PSC), induced by q-axis current injection, only dominate the system in weak grids, with one exception of low converter voltage magnitude. Using Bode's gain/phase relation, a trade-off analytical condition between the bandwidth and phase margin is proposed considering the locations of right-half-plant (RHP) zeros. System dynamic performance is improved compared to the design ignoring the effect of RHP zeros. © 1969-2012 IEEE.

关键词： Bandwidth Transfer functions Power system stability Impedance System dynamics Stability criteria Reactive power Power system dynamics Grid forming Tuning

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Non-Invasive and Noise-Robust Confocal Wavefront Shaping

Non-Invasive and Noise-Robust Confocal Wavefront Shaping

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2024 Adaptive Optics: Methods, Analysis and Applications, AOMS 2024 - Part of Optica Imaging Congress

作者： Aizik, Dror Levin, Anat Department of Electrical and Computer Engineering Technion Haifa3200003 Israel

We use a double modulation of both excitation and emission light to correct aberration and image through thick scattering tissue. The approach is noise robust and successfully images weak fluorescent neurons inside br... 详细信息

关键词： Aberrations

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Connectivity Maximization in UAV Networks using RIS Placement and SDP Optimization 100

Connectivity Maximization in UAV Networks using RIS Placemen...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Saif, Mohammed Valaee, Shahrokh University of Toronto Department of Electrical and Computer Engineering Toronto Canada

ISBN: (纸本)9798331517786

In this paper, we study the problem of placing a reconfigurable intelligent surface (RIS) and tuning its reflected links to improve the resiliency and connectivity of uncrewed aerial vehicle (UAV) networks. We formulate an optimization problem of maximizing network connectivity that jointly optimizes RIS position, its phase shift, and UE-RIS-UAV link scheduling. Such problem is computationally expensive combinatorial optimization. To tackle this problem, we first design the phase control strategy at the RIS for the UE-RIS-UAV link scheduling. With such design, we propose an optimal linear search method, which has high computational complexity for large networks. Then, leveraging the convex relaxation method and the designed phase strategy, we propose another solution using semi-definite programming (SDP) optimization, which solves the problem in polynomial time. Simulation results show that our proposed solutions outperform other benchmark schemes. © 2024 IEEE.

关键词： Graph theory

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Safe and Efficient Unsignalized Intersection Management with Breadth-First Spanning Tree 27

Safe and Efficient Unsignalized Intersection Management with...

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27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024

作者： Li, Dong Wang, Sen Zeng, Haibo Virginia Tech Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798331505929

Intersections stand as critical nodes in transportation networks, where traffic safety and efficiency are paramount concerns. The advent of Connected and Automated Vehicles (CAVs) holds promise in revolutionizing transportation systems by enhancing efficiency, safety, and congestion mitigation. However, prevailing literature on intersection management adheres to traditional layouts, imposing fixed turning directions on approach lanes, thus limiting the flexibility and controllability of CAVs. In contrast to approaches restricting lane choice, our framework leverages all available exit lanes whenever feasible. The Extended Conflict Directed Graph (ECDG) is proposed to model intersections, integrating vehicle dynamics and intersection geospatial characteristics for improved efficiency. Furthermore, we propose a novel breadth-first-search-based method to solve the problems efficiently. Extensive experiments demonstrate significant improvements in intersection evacuation time, with up to a 15.8% enhancement in traffic efficiency compared to state-of-the-art methods. © 2024 IEEE.

关键词： Trees (mathematics)

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Control of a Radar Seeker using Fuzzy Type-2 PID Controller 10

Control of a Radar Seeker using Fuzzy Type-2 PID Controller

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10th International Conference on Control, Instrumentation and Automation, ICCIA 2024

作者： Taslimian, Mohammad Zahiripour, Seyyed Ali Kashan University Department of Electrical and Computer Engineering Kashan Iran

ISBN: (纸本)9798331509972

A two-Axis seeker must be stabilized from the missile body motions in different directions. Tracking the target using a missile is depends on the performance stability of the seeker. For this purpose, a dynamic model of a seeker and missile motion is needed. So in this paper first we implement a mathematical model of the seeker and then stabilize it with respect to the motion of the missile using Fuzzy Type-2 PID controller. © 2024 IEEE.

关键词： Proportional control systems

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Parameter Estimation of Two-Element Rectangular Microstrip Patch Antenna Using Artificial Neural Network 3

Parameter Estimation of Two-Element Rectangular Microstrip P...

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3rd FORTEI-International Conference on electrical engineering, FORTEI-ICEE 2024

作者： Syahrial, Syahrial Al Faqi, Muhammad Khalid Meutia, Ernita Dewi Munadi, Rizal Roslidar, Roslidar Department of Electrical and Computer Engineering Universitas Syiah Kuala Indonesia

ISBN: (纸本)9798331542207

The process of estimating the parameters of rectangular patch microstrip antennas has so far had some shortcomings, such as the amount of error generated and the complexity of the method. Therefore, research is needed to develop a new method that can improve the results of estimating the parameters, reducing the error rate and simplifying the process. An estimator model based on Artificial Neural Network (ANN) is proposed to analyse and estimate the parameters of a two-element rectangular patch microstrip antenna, including directivity, resonant frequency, VSWR, gain, bandwidth, and return loss. The data values input into the ANN include the substrate's dielectric constant, the substrate's thickness, and the feed and patch's length and width. The results show that the ANN can estimate the parameters of a two-element rectangular patch microstrip antenna with a low error rate and good convergence with low Mean Squared Error (MSE) value for directivity, resonant frequency, VSWR, gain, bandwidth, and return loss parameters of 0.00862, 0.02440, 0.00228, 0.04352, 0.00004, and 0.10232, respectively. The evaluation results demonstrate that our proposed ANN model have increased the accuracy estimation rate of two-element rectangular patch microstrip antenna parameters. © 2024 IEEE.

关键词： antenna parameter estimation artificial neural network rectangular microstrip patch antenna

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Fault Ride Through Enhancement Methods in Wind Energy Systems: A Brief Review 9

Fault Ride Through Enhancement Methods in Wind Energy System...

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9th International Conference on Technology and Energy Management, ICTEM 2024

作者： Asadimanesh, Sepideh Moradi, Hassan Razi University Department of Computer and Electrical Engineering Kermanshah Iran

ISBN: (纸本)9798350329797

In most countries, for environmental reasons and the growth of energy demand, the use of renewable energy, especially wind energy, is increasing. Hence, the integration of wind energy systems (WESs) into the power grid and their reaction when grid faults occur has become a challenging issue in grid code provisions in terms of stability and reliability. Consequently, increasing the fault ride-through (FRT) in grid-connected WESs is one of the most influential subjects related to grid codes. Therefore, considering the importance of FRT enhancement in grid-connected WESs, in this paper, the available methods for increasing FRT are briefly introduced and discussed. Then the advantages and limitations of each of these methods are mentioned. Finally, recommendations for future work in this field are provided. © 2024 IEEE.

关键词： Windmill

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Hybrid State Space and Frequency Domain System Level Synthesis for Sparsity-Promoting H2/H∞ Control Design 63

Hybrid State Space and Frequency Domain System Level Synthes...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Fang, Zhong Fisher, Michael W. University of Waterloo Department of Electrical and Computer Engineering WaterlooON Canada

ISBN: (纸本)9798350316339

Design of optimal linear feedback controllers is a challenging but important problem in many applications. The main difficulties arise from nonconvexity and infinite dimensionality of the associated optimization problem for the design. A promising recent approach to address these challenges is to first use system level synthesis to render the problem convex using a clever reparameterization, and then to apply an approximation by simple poles to obtain a finite dimensional problem. However, when computing H2 and H∞ norms, this prior approach requires an additional approximation of a finite time horizon for the closed-loop impulse response. This finite horizon results in increased suboptimality, degraded performance, and increased problem size and memory requirements. To address these limitations, we present a novel control design framework that combines the frequency domain system level synthesis constraints with a state space formulation of the H2 and H∞ norms using linear matrix inequalities. This state space formulation eliminates the need for a finite time horizon approximation, and results in a convex and tractable semidefinite program for the control design. To preserve robustness, in practice it is important that controllers only contain a relatively small number of poles. Therefore, we propose to make an optimal sparse selection of simple poles from a large initial collection to maintain robustness while improving performance. As this sparsity constraint is nonconvex, we use group lasso regularization to enforce sparsity while maintaining convexity for the control design. Finally, the superior performance of the proposed method is illustrated on an example of power converter control design. © 2024 IEEE.

关键词： Poles

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Adaptive Impedance Matching with Fault Ride Through in Wireless Power Transfer for Implanted Medical Devices 46

Adaptive Impedance Matching with Fault Ride Through in Wirel...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Wu, Han Cai, Yufei Wu, Haolun Mahmud, Sultan Nezaratizadeh, Ali Khalifa, Adam University of Florida Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350371499

IMDs has found widespread application across various medical fields. Wirelessly powered implants are increasingly being developed to interface with neurons due to its small size. The matching network (MN) within the wireless IMD is a crucial component influencing system efficiency. Conventional approaches using fixed-value MNs struggle to adapt to changes in parameters and environment. This research proposes an adaptive algorithm-based MN that enabels the system to automatically track the maximum rectified voltage despite variations in frequency and inductor, as well as sampling errors due to random external interference. For the first time, an active voltage limiter has been integrated into the MN to reject excess power in order to safeguard the chip, rather than dissipating it as heat. Implemented in TSMC 65nm technology, this system can operate under ±15% inductance fluctuation and ±10% frequency fluctuation at 500 MHz, enabling unusable systems to obtain sufficient power. The chosen proof-of-concept for this work is a neural stimulating IMD but this approach can extend beyond this setup. © 2024 IEEE.

关键词： Inductive power transmission

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AUTOMATIC PRUNING OF FINE-TUNING DATASETS FOR TRANSFORMER-BASED LANGUAGE MODELS 3

AUTOMATIC PRUNING OF FINE-TUNING DATASETS FOR TRANSFORMER-BA...

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3rd Conference on Lifelong Learning Agents, CoLLAs 2024

作者： Tayaranian, Mohammadreza Mozafari, Seyyed Hasan Meyer, Brett H. Clark, James J. Gross, Warren J. Department of Electrical and Computer Engineering McGill University Montreal Canada

Transformer-based language models have shown state-of-the-art performance on a variety of natural language understanding tasks. To achieve this performance, these models are first pre-trained on general corpus and then fine-tuned on downstream tasks. Previous work studied the effect of pruning the training set of the downstream tasks on the performance of the model on its evaluation set. In this work, we propose an automatic dataset pruning method for the training set of fine-tuning tasks. Our method is based on the model’s success rate in correctly classifying each training data point. Unlike previous work which relies on user feedback to determine subset size, our method automatically extracts training subsets that are adapted for each pair of model and fine-tuning task. Our method provides multiple subsets for use in dataset pruning that navigate the trade-off between subset size and evaluation accuracy. Our largest subset, which we also refer to as the winning ticket subset, is on average 3× smaller than the original training set of the fine-tuning task. Our experiments on 5 downstream tasks and 2 language models show that, on average, fine-tuning on the winning ticket subsets results in a 0.1% increase in the evaluation performance of the model. © 2024 CoLLAs. All Rights Reserved.

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